• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.06a
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• pp.165-166
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• 2013

콘텐츠의 기하급수적인 증가와 다양한 서비스 확산에 따라 추천 서비스에 대한 연구는 날로 증가하고 있다. 특히, SNC 이용의 증가는 콘텐츠의 생산과 소비에 대한 주체를 새로운 관점에서 파악 할 수 있는 유용한 정보원이 되고 있다. 따라서 본 논문에서는 SNC에서의 사용자에 대한 속성 데이터와 활동 데이터를 바탕으로 정보 처리활동 기반의 속성 요소를 도출하고, 이를 바탕으로 개인화 서비스를 제공하기 위한 사용자 유형 모델링 방안을 제안하고자 한다. 사용자 유형 모델링은 사용자 속성 요소 정의와 이들 사이의 관계로 구성된다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.07a
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• pp.376-379
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• 2010

최근 사용자들은 TV, 컴퓨터, 모바일 폰등 다수의 기기들을 통해 보다 많은 콘텐츠를 접할 수 있는 기회를 갖게 되었으며, 디지털 방송 환경에서 Anytime, Anywhere 서비스는 가장 핵심적 이슈였다. 이를 위해 많은 연구 및 개발이 진행되어졌고, 이와 같은 서비스들은 3-스크린, TVing 등의 서비스들로 이어졌다. 이와 같이 풍부한 인터넷 자원에 기반 한 3-스크린 개념의 서비스들은 사용자에게 무한한 콘텐츠 접근성을 보장한다. 개인 맞춤형 방송은 다양한 방송환경에서 킬러 어플리케이션으로 주목 받아 왔다. 특히 IPTV와 CATV와 같이 수십 개 이상의 채널과 수백 개 이상의 콘텐츠를 제공하는 방송 환경에서는 맞춤형 방송은 매우 유용한 어플리케이션이다. TV-Anytime Forum 등에서는 개인 맞춤형 방송에 대한 표준을 제정하였으며, 이 중 맞춤형 광고 서비스를 위하여 Interstitial Metadata 에 대한 표준을 제정하였다. 본 논문에서는 TV-Anytime 표준에서 정의한 메타데이터에 기반을 둔 3-스크린 환경에서의 맞춤형 콘텐츠 및 인터스티셜 서비스를 설계 및 개발한다.

• International journal of advanced smart convergence
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• v.10 no.1
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• pp.62-74
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• 2021

We compare Over-the-Tops (OTTs), Netflix and Amazon Prime Video (APV) with five success factors of innovation. Firstly, Netflix offers better personalized service than APV, because APV has collaborative filtering algorithms to recommend safe bets, not the customers really want. Secondly, APV' user interface is undercooked to lock the members in, even if it has more content and better price offer than Netflix retaining its loyal customers despite the price increase. Thirdly, Netflix has simple subscription model with three tiering, but APV has complicated pricing model having annual and monthly, APV and Prime Video (AV) app, Amazon subscription and extra payment of Amazon Prime Channels (APCs). Fourthly, Amazon has fewer partnership than Netflix especially when it comes to local TV series. Instead, Amazon has live TV channel collaboration including sports content. Lastly, both have strategic and operational agility in their organization well.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.209-215
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• 2019

The purpose of this study is to suggest the development of interactive services and technologies in the media industry. Through the analysis of domestic two-way broadcasting contents service, this study analyzed platform and services type according to service type of terrestrial broadcasting, SO operator and Telco. Also, by identifying the characteristics of interactive programs(open, interactive, personalized, stereoscopic), this study propose important convergence possibilities of the future providers and development plans through supporting technologies and services for each characteristic. In the case of terrestrial broadcasters, ARS, web sites and mobile apps were mostly provided in both directions, and SO and satellite broadcasting operators were found to provide diversity in interactive service operation using data domain. In the case of IPTV companies, most of them provide interactive services with additional video or information service through adjustment button or app, and cable TV operators had more adjustment data broadcasting than exclusive use data broadcasts. Therefore, domestic interactive broadcasting service type needs convergence type of revenue model needs and needs to be converted into new competitive interactive broadcasting program service environment.

• Smart Media Journal
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• v.11 no.11
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• pp.17-24
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• 2022

With the spread of smart speakers based on voice recognition technology and deep learning technology, not only non-disabled people, but also the blind or physically handicapped can easily control home appliances such as lights and TVs through voice by linking home network services. This has greatly improved the quality of life. However, in the case of speech-impaired people, it is impossible to use the useful services of the smart speaker because they have inaccurate pronunciation due to articulation or speech disorders. In this paper, we propose a personalized voice classification technique for the speech-impaired to use for some of the functions provided by the smart speaker. The goal of this paper is to increase the recognition rate and accuracy of sentences spoken by speech-impaired people even with a small amount of data and a short learning time so that the service provided by the smart speaker can be actually used. In this paper, data augmentation and one cycle learning rate optimization technique were applied while fine-tuning ResNet18 model. Through an experiment, after recording 10 times for each 30 smart speaker commands, and learning within 3 minutes, the speech classification recognition rate was about 95.2%.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.10
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• pp.709-721
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• 2006

The traditional broadcasting services over terrestrial, satellite and cable media have been unidirectional mass media regardless of TV viewer's preferences. Recently ich media streaming has become possible via the broadb and networks. Furthermore, since bidirectional communication is possible, personalcasting such as personalized streaming services has been emerging by taking into account the user's preference on content genres, viewing times and actors/actresses etc. Accordingly, personal media becomes an important means for content provision service in addition to the traditional broadcasting service as mass media. In this paper, we introduce a user profile reasoning method for target advertisement which is considered an important application in personalcasting service. The proposed user profile reasoning method predicts an unknown TV viewer's gender and ages by analyzing TV Viewing history data. Based on the estimated user's gender and ages, a target advertisement is provided with TV Anytime metadata. A proposed target advertisement system is developed based on the user profile reasoning and the target advertisement selection method. To show the effectiveness of our proposed methods, we present a plenty of experimental results by using realistic TV viewing history data.

• Journal of Information Processing Systems
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• v.7 no.2
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• pp.355-362
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• 2011

Since two-way interactive broadcasting service began, remote controls have been fitted with 4 color buttons, which enables interaction and convenience to increase between users and content. Currently, diverse studies on IPTV are in progress. Particularly, as the mobile market rapidly grows, studies on mobile IPTV and on linkage with other media are constantly increasing. However, mobile IPTV has never been studied until now. In that sense, this present study attempted to design a mobile-based IPTV UI that could use a multi-dimensional search method based on consistent criteria for content search. As a result, the proposed IPTV UI is fitted with more usability and functionality for 4 color buttons. The UI designed in this study was compared to the IMDb Android Application, which uses GOMS-KLM. The results showed that the performance process was reduced by three stages, and that the performance time was reduced by more than 17.9%. Therefore, the conclusion can be reached that the proposed UI is effective for a fast search of contents.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.361-366
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• 2020

The purpose of this study is to find out user preference on personification of the public service robot. Public service robot services in public places is increasing, which is expected to continue to increase. Proper anthropomorphism of robots has positive effect on user experience. On the other hand, when the level of likeness exceeds a certain point, it provokes strangeness and a sense of unease. Therefore, it is necessary to prepare standards for anthropomorphism required for public service robots. In order to find it, a survey and an in-depth interview were conducted. According to the analysis, people prefer verbal interaction with the robot, and the proper age for the voice is in their 20s and 30s. It is recommended that no biological signals appear on the robot and there is a need for personalized services. Through this research, it is expected that it will contribute to design of public service robots that enhance user experience.

• Journal of Korea Technology Innovation Society
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• v.10 no.3
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• pp.486-508
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• 2007

This study identifies key determinants of participation in UCC services. Incorporating insights from the flow theory, we examine the effects of psychological factors of social presence, self expression, arousal, and challenge as well as web-site characteristics variables of media easiness, contents usability, and immediateness. We have done a sample survey of internet users and collected 260 responses. Using Windows SPSS/PC 12.0 Package, we have performed statistical analyses including a correlation analysis, a factor analysis, and a multiple regression analysis. The result of the study is as follows. Psychological variables of perceived social presence, self expression, arousal, and challenge all show positive significant effect on participation in UCC service. Among web site characteristics, media easiness, which consists of a web structure that is easy-to-use, user friendliness, and personalized service, demonstrates a positive significant effect on participation in UCC services. Immediateness also has a positive significant effect. Some of the practical implications of the result are follows. We should improve user access to platforms of UCC service by opening up platforms. This will heighten perceived challenge which has the strongest influence on participation in UCC services. We need to focus on multimedia services and adjust to the cultural code of netizen who crave for visual expressions and on the spot on-line activities. Also suggested is that contributions made by participants need to be acknowledged through such provisions as profit sharing. Needs for individualized service, which is an aspect of media easiness, should also be addressed. Participants tend to value individuality while at the same time accepting broader trends. Information services need to be customized for individuals. In UCC centered internet businesses, netizen consumers are presumer. They are consumers and producers at the same time, and consumer needs should also be explored for the success of internet businesses.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.461-470
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• 2005

This paper suggests a new policy for consolidating a company's profits by segregating the clients using the contents service and allocating the media server's resources distinctively by clusters using the cluster analysis method of CRM, which is mainly applied to marketing. In this case, CRM refers to the strategy of consolidating a company's profits by efficiently managing the clients, providing them with a more effective, personalized service, and managing the resources more effectively. For the realization of a new service policy, this paper analyzes the level of contribution $vis-\acute{a}-vis$ the clients' service pattern (total number of visits to the homepage, service type, service usage period, total payment, average service period, service charge per homepage visit) and profits through the cluster analysis of clients' data applying the K-Means Method. Clients were grouped into 4 clusters according to the contribution level in terms of profits. Likewise, the CRFA (Client Request Filtering algorithm) was suggested per cluster to allocate media server resources. CRFA issues approval within the resource limit of the cluster where the client belongs. In addition, to evaluate the efficiency of CRFA within the Client/Server environment the acceptance rate per class was determined, and an evaluation experiment on network traffic was conducted before and after applying CRFA. The results of the experiments showed that the application of CRFA led to the decrease in network expenses and growth of the acceptance rate of clients belonging to the cluster as well as the significant increase in the profits of the company.